Product Manager

Similarweb

Tel Aviv, Israel

Who this role is best for

Candidates with AI-native experience and a process-builder mindset will find this AI transformation role in a B2B SaaS company in Tel Aviv.

Best fit for

Candidates with hands-on AI product experience and a strong business orientation
— “4+ years of Product Management experience, with a strong preference for hands-on experience building 0→1 products in AI, automation, B2B SaaS, or other technically complex environments.”
Individuals who thrive in ambiguous environments and drive organizational change
— “Drive adoption and organizational change - not just product delivery.”
Candidates with technical fluency in AI tools and systems thinking
— “Comfortable discussing architecture and technical tradeoffs with engineers without necessarily being an ML engineer.”

Things to consider

The role demands cross-departmental collaboration and stakeholder management
— “Comfortable working across multiple departments and stakeholder groups.”
Candidates must be able to work in a technically complex environment
— “Strong understanding of LLM-based products, agents, APIs, automation, data, and modern AI capabilities and limitations.”

How to stand out

Highlight experience in reimagining workflows with AI, not just adding features
— “Redesign workflows around AI rather than simply adding AI features to existing processes.”
Showcase independent prototyping using AI-assisted development tools
— “Able to prototype independently using AI-assisted development tools.”
Emphasize ability to define success metrics tied to business impact
— “Define clear success metrics and measure business impact, including productivity, automation, conversion, quality, cost savings, and revenue impact.”

Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

Identify high-impact opportunities for AI transformation
Redesign workflows around AI
Turn successful prototypes into scalable products
Define clear success metrics
Drive adoption and organizational change

Typical background

4+ years of Product Management experienceHands-on experience building 0→1 products in AI, automation, B2B SaaS

Skills & requirements

Required

Product ManagementAI TransformationLlm-based ProductsAgentsApisAutomationDataModern AI CapabilitiesPrototypingArchitectureTechnical TradeoffsBusiness ProcessesROIMeasurable OutcomesCommunicationStakeholder Management

Preferred

SQL

Stack & domain

Product ManagementAILlmsAgentsApisAutomation PlatformsAi-assisted Development ToolsLeadershipCommunicationCuriosityProblem-solvingTeamworkAutomationB2B SaasDataSoftware

About the role

Original posting from Similarweb via Greenhouse

Product Manager – AI Transformation
We’re looking for an exceptional Product Manager to join our AI Transformation team and help reshape how Similarweb operates in the AI era.
This is not a traditional product role focused on managing a feature backlog.
You’ll work across the organization to identify high-impact business problems and processes, understand how they work today, and determine how AI, agents, automation, data, and software can fundamentally improve them.
You’ll take opportunities from problem discovery → prototype → pilot → production → adoption → measurable business impact.
What you'll do
Identify high-impact opportunities for AI transformation across business functions such as Sales, Customer Success, Marketing, Operations, Finance, and Product.
Deeply understand existing workflows, user pain points, bottlenecks, and manual processes.
Redesign workflows around AI rather than simply adding AI features to existing processes.
Rapidly prototype solutions using LLMs, agents, APIs, automation platforms, and AI-assisted development tools.
Work closely with Engineering, Data, business stakeholders, and leadership to turn successful prototypes into scalable products and systems.
Define clear success metrics and measure business impact, including productivity, automation, conversion, quality, cost savings, and revenue impact.
Run pilots with real users, learn quickly, and iterate based on data and feedback.
Evaluate when we should build, buy, integrate, or automate rather than defaulting to building software internally.
Drive adoption and organizational change - not just product delivery.
Stay close to developments in AI and continuously identify new capabilities that can create meaningful business value.
What we're looking for
Product
4+ years of Product Management experience, with a strong preference for hands-on experience building 0→1 products in AI, automation, B2B SaaS, or other technically complex environments.
Strong Product Management experience with a proven ability to take ambiguous problems and turn them into working solutions.
Excellent product sense and ability to simplify complex workflows.
Strong discovery skills and curiosity about how businesses actually operate.
Comfortable owning problems rather than receiving predefined requirements.
AI & Technical
AI-native: you actively use modern AI tools as part of how you work.
Strong understanding of LLM-based products, agents, APIs, automation, data, and modern AI capabilities and limitations.
Able to prototype independently using AI-assisted development tools.
Comfortable discussing architecture and technical tradeoffs with engineers without necessarily being an ML engineer.
Experience building AI-powered products, agents, automations, or internal tools is a significant advantage.
Business
Strong business orientation, you naturally think about ROI and measurable outcomes.
Ability to understand complex business processes quickly.
Comfortable working across multiple departments and stakeholder groups.
Excellent communication and stakeholder-management skills.
Able to operate effectively in environments where the problem and solution are initially unclear.
The mindset we're looking for
You hear: “This process takes our team 30 minutes per customer.”
And your instinct is not: “Let's write a PRD.”
It's:
“Why does this process exist? Which decisions are being made? What data do we have? What could an agent do? What still requires a human? Can I prototype this this week? And how would we measure whether it's better?”
We're looking for a builder, problem solver, and product thinker who wants to help define how an AI-native company should operate.
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Source: Similarweb careers (Greenhouse)